Created
November 1, 2023 16:14
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501. Find Mode in Binary Search Tree
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Given the root of a binary search tree (BST) with duplicates, return all the mode(s) (i.e., the most frequently occurred element) in it. | |
If the tree has more than one mode, return them in any order. | |
Assume a BST is defined as follows: | |
The left subtree of a node contains only nodes with keys less than or equal to the node's key. | |
The right subtree of a node contains only nodes with keys greater than or equal to the node's key. | |
Both the left and right subtrees must also be binary search trees. | |
Example 1: | |
Input: root = [1,null,2,2] | |
Output: [2] | |
Example 2: | |
Input: root = [0] | |
Output: [0] | |
Constraints: | |
The number of nodes in the tree is in the range [1, 104]. | |
-105 <= Node.val <= 105 | |
Follow up: Could you do that without using any extra space? (Assume that the implicit stack space incurred due to recursion does not count). |
Author
smatthewenglish
commented
Nov 1, 2023
System.out.println("maxFrequency: " + maxFrequency);
System.out.println(" key: " + key);
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode() {}
* TreeNode(int val) { this.val = val; }
* TreeNode(int val, TreeNode left, TreeNode right) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
class Solution {
Integer maxFrequency = 0;
HashMap<Integer, Integer> modeMap = new HashMap<>();
public int[] findMode(TreeNode root) {
Integer key = root.val;
Integer countKey = 0;
if(modeMap.containsKey(key)) {
countKey = modeMap.get(key) + 1;
modeMap.put(key, countKey);
} else {
countKey = 1;
modeMap.put(key, countKey);
}
if(countKey > maxFrequency) {
maxFrequency = countKey;
}
if(root.left != null) {
findMode(root.left);
}
if (root.right != null) {
findMode(root.right);
}
HashSet<Integer> resultSet = new HashSet<>();
modeMap.forEach((keyMap, countKeyMap) -> {
if (countKeyMap.equals(maxFrequency)) {
resultSet.add(keyMap);
}
});
int[] output = resultSet.stream().mapToInt(Integer::intValue).toArray();
return output;
}
}
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